Natural Language Processing

Deep Learning Natural Language Processing Awesome Guides Chat Gpt Series Everything Programmers need to learn about GPT — Using OpenAI and Understanding Prompting

ChatGPT’s free conversational interface offers a tantalizing glimpse into the future of AI.

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Deep Learning Natural Language Processing Awesome Guides Chat Gpt Series Everything you need to learn about GPT — How Does ChatGPT Work?

ChatGPT is what everyone is talking about nowadays. Would it take all the jobs?

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Deep Learning Natural Language Processing Awesome Guides Explaining BERT Simply Using Sketches

In my last series of posts on Transformers, I talked about how a transformer works and how to implement one yourself for a translation task.

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Deep Learning Natural Language Processing Awesome Guides How Can Data Scientists Use Parallel Processing?

Finally, my program is running! Should I go and get a coffee?

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Deep Learning Natural Language Processing Awesome Guides Understanding BERT with Huggingface

In my last post on BERT , I talked in quite a detail about BERT transformers and how they work on a basic level.

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Deep Learning Natural Language Processing Awesome Guides Understanding Transformers, the Data Science Way

Transformers have become the defacto standard for NLP tasks nowadays.

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Deep Learning Natural Language Processing Computer Vision Awesome Guides The Most Complete Guide to PyTorch for Data Scientists

PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface.

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Natural Language Processing Deep Learning Computer Vision Awesome Guides A definitive guide for Setting up a Deep Learning Workstation with Ubuntu

Creating my own workstation has been a dream for me if nothing else.

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Natural Language Processing Deep Learning Awesome Guides Using Deep Learning for End to End Multiclass Text Classification

Have you ever thought about how toxic comments get flagged automatically on platforms like Quora or Reddit?

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Data Science Natural Language Processing Adding Interpretability to Multiclass Text Classification models

Explain Like I am 5. It is the basic tenets of learning for me where I try to distill any concept in a more palatable form.

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